Emorie D Beck
“a series of values of a quantity obtained at successive times, often with equal intervals between them”
# A tibble: 100 × 2
t value
<int> <dbl>
1 1 5
2 2 5
3 3 3
4 4 4
5 5 4
6 6 4
7 7 4
8 8 3
9 9 3
10 10 2
11 11 3
12 12 4
13 13 4
14 14 3
15 15 3
# … with 85 more rows
People who:
study longitudinal change (e.g., development)
study variability (e.g., experience sampling, passive sensing)
run experiments with multiple trials
study cohort or age differences
simulations (e.g., trace plots in bayesian models)
Time is everywhere, and ignoring it can be problematic
Why visualize a time series if you don’t care about the trend?
PSC 290 - Data Visualization